Description
This pre-trained pipeline classifies Turkish texts of news.
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How to use
pipeline = PretrainedPipeline("classifierdl_bert_news_pipeline", lang = "tr")
result = pipeline.fullAnnotate("Bonservisi elinde olan Milli oyuncu, yeni takımıyla el sıkıştı")
result["class"]
val pipeline = new PretrainedPipeline("classifierdl_bert_news_pipeline", "tr")
val result = pipeline.fullAnnotate("Bonservisi elinde olan Milli oyuncu, yeni takımıyla el sıkıştı")(0)
Results
["Sport"]
Model Information
| Model Name: | classifierdl_bert_news_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 3.2.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | tr |
Included Models
- DocumentAssembler
- BertSentenceEmbeddings
- ClassifierDLModel